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		<isbn>978-85-17-00088-1</isbn>
		<label>59231</label>
		<citationkey>OliveiraFlBrHaEcQu:2017:AsMoHi</citationkey>
		<title>Associação entre modelos hidrológicos e geotecnologias para identificação de áreas suscetíveis a inundações e enxurradas em locais com baixa disponibilidade de dados altimétricos e hidrológicos</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Oliveira, Guilherme Garcia de,</author>
		<author>Flores, Taísa,</author>
		<author>Bresolin Junior, Nestor Antonio,</author>
		<author>Haetinger, Claus,</author>
		<author>Eckhardt, Rafael Rodrigo,</author>
		<author>Quevedo, Renata Pacheco,</author>
		<electronicmailaddress>guilherme.oliveira@univates.br</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>1210-1217</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Natural disasters very often have caused deep impacts on human society. It is estimated that in the last decade about 1.5 billion people around the globe were affected by hydrometeorological events. In order to prevent natural disasters to reach careless and susceptible areas, several methodologies have been presented to identity the vulnerability. The identification of susceptible areas to floods in the Forqueta River Basin has been conducted by the utilization of a modelling method that integrates the hydrological simulation and the use of geotechnologies. The definition of extreme rainfall in return periods (RP) of 10, 30 and 100 years was carried out by using an intensity-duration-frequency equation. Shuttle Radar Topography Mission data were used to the delimitation of the basins and rivers. The Soil Conservation Service method was used for the transformation of rain runoff, while the spread of river flood wave was conducted by Muskingum-Cunge model. The extreme precipitation scenario for a period of 25 hours ranged from 123mm (RP10) to 179mm (RP100). Hydrological simulation revealed that the maximum flow rates can exceed 8,000m3.s-1 at the Forqueta river outfall, with wet area section larger than 5,000m2 and waters rising more than 10m on the average. About 2% of the basin showed some degree of susceptibility (RP100), adding up to 53km2 of wetlands. The approach has shown consistent results concerning to flows and flood levels. One may conclude that the same data set could be applied to other fields of study, for regional hydrological characterization of susceptibility to disasters.</abstract>
		<area>SRE</area>
		<type>Hidrologia</type>
		<language>pt</language>
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